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Travel mode classification based on GNSS trajectories and open geospatial data

Overview of attention for article published in Transactions in GIS, July 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

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4 Dimensions

Readers on

mendeley
29 Mendeley
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Title
Travel mode classification based on GNSS trajectories and open geospatial data
Published in
Transactions in GIS, July 2022
DOI 10.1111/tgis.12974
Authors

Hangbin Wu, Huiling Jin, Zeran Xu, Chun Liu, Jian Li, Wei Huang

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 4 14%
Student > Ph. D. Student 1 3%
Researcher 1 3%
Other 1 3%
Student > Master 1 3%
Other 0 0%
Unknown 21 72%
Readers by discipline Count As %
Unspecified 4 14%
Computer Science 2 7%
Earth and Planetary Sciences 1 3%
Unknown 22 76%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 July 2022.
All research outputs
#15,381,002
of 22,882,389 outputs
Outputs from Transactions in GIS
#287
of 434 outputs
Outputs of similar age
#218,940
of 400,831 outputs
Outputs of similar age from Transactions in GIS
#5
of 9 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 434 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 400,831 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.